Intelligent Document Processing (IDP) is revolutionizing the way organizations manage unstructured document data by automating the extraction of important information from various documents like invoices and contracts. A new solution leverages Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA) to create an IDP system. This system, demonstrated through a Jupyter notebook, allows users to upload multi-modal business documents and extract insights using BDA as a parser, enhancing the capabilities of foundational models. The solution retrieves relevant context from documents such as the Nation’s Report Card by the U.S. Department of Education and can be integrated into Retrieval-Augmented Generation (RAG) workflows, offering a cost-effective way to generate insights from complex content. Amazon Bedrock AgentCore provides a fully managed service for building and deploying autonomous agents without the need for managing infrastructure or writing custom code. Developers can use popular frameworks and models from Amazon Bedrock, Anthropic, Google, and OpenAI. The Strands Agents SDK is a powerful open-source toolkit that facilitates AI agent development through a model-driven approach, allowing developers to create agents with defined prompts and tools. A large language model (LLM) within this workflow autonomously decides on optimal actions and tool usage, supporting complex systems while minimizing code requirements. This setup uses Amazon S3 for document storage, Bedrock Knowledge Bases for RAG workflows, and Amazon OpenSearch for vector embeddings, enabling efficient IDP processes. Security considerations are crucial in implementing this solution, with measures such as secure file handling, IAM role-based access control, and input validation. While the implementation is for demonstration purposes, additional security controls and architectural reviews are necessary for production deployment. The solution is particularly beneficial for automated document processing, intelligent document analysis on large datasets, and question-answering systems based on document content. By utilizing Amazon Bedrock AgentCore and Strands Agents, organizations can create robust applications that understand and interact with multi-modal document content, enhancing the RAG experience for complex data formats. This matters because it significantly improves efficiency and accuracy in processing and analyzing large volumes of unstructured data.
